Try our new research platform with insights from 80,000+ expert users

IBM Cloud Pak for Integration vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Cloud Pak for Integration
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
API Management (24th), Cloud Data Integration (15th)
SAS Data Management
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
16
Ranking in other categories
Data Integration (35th), Data Quality (11th), Data Governance (26th)
 

Featured Reviews

Neelima Golla - PeerSpot reviewer
A hybrid integration platform that applies the functionality of closed-loop AI automation
I recommend using it because, in today's context, the cloud plays a significant role. Within the same user interface, you can develop applications and manage multiple applications, making it a more user-friendly option. Moreover, you can explore various other technologies while deploying on the cloud, broadening your knowledge of cloud technologies. In my case, the transition led to my learning of Kubernetes, enabling multi-scaling and expanding my technical skills. It was a valuable experience, and I had the opportunity to learn many new things during the migration process. I can easily rate it an eight or nine out of ten.
Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is a stable solution."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The technical support is excellent."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"I am impressed with the tool's ability to customize."
"The tool is reliable, quick, and powerful."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"If you compare it to SQL, the memory and development times are very quick."
 

Cons

"The pricing can be improved."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The solution could use better documentation."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution is quite expensive and hard to install/configure."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
 

Pricing and Cost Advice

"It is an expensive solution."
"The solution's pricing model is very flexible."
"The solution is expensive."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
"The tool is a bit expensive."
"The licensing model for vCenter is a perpetual license with yearly payments."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
847,646 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
13%
Government
8%
Manufacturing Company
8%
Financial Services Firm
30%
Computer Software Company
12%
Insurance Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM Cloud Pak for Integration?
The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of ...
What needs improvement with IBM Cloud Pak for Integration?
Enterprise bots are needed to balance products like Kafka and Confluent.
What is your primary use case for IBM Cloud Pak for Integration?
It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...
What do you like most about SAS Data Management?
I am impressed with the tool's ability to customize.
What is your experience regarding pricing and costs for SAS Data Management?
The licensing model for vCenter is a perpetual license with yearly payments. This model ensures continuous updates and support while managing initial setup costs.
What needs improvement with SAS Data Management?
Integration and cloud migration are areas where we see potential for improvement. A more seamless integration process and transitioning to a cloud-based environment would enhance user-friendliness ...
 

Also Known As

No data available
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

CVS Health Corporation
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about IBM Cloud Pak for Integration vs. SAS Data Management and other solutions. Updated: April 2025.
847,646 professionals have used our research since 2012.